论文标题

带有右生存数据的回归不连续性设计

Regression discontinuity design with right-censored survival data

论文作者

Stoltenberg, Emil Aas

论文摘要

在本文中,回归不连续性设计适用于使用右审核数据的生存分析设置,并以基于强度的计数过程框架进行了研究。特别是,引入了AALEN添加剂危害估计器的局部多项式回归版本,以估计两个协变量累积危害率函数之间的差异。开发了该估计值的大样本理论,包括考虑到与偏置校正相关的不确定性的置信区间。正如因果关系文献中的标准一样,模型和理论嵌入了潜在的结果框架中。提出了有关潜在结果和生存数据的乘法危害模型的两个一般结果。

In this paper the regression discontinuity design is adapted to the survival analysis setting with right-censored data, studied in an intensity based counting process framework. In particular, a local polynomial regression version of the Aalen additive hazards estimator is introduced as an estimator of the difference between two covariate dependent cumulative hazard rate functions. Large-sample theory for this estimator is developed, including confidence intervals that take into account the uncertainty associated with bias correction. As is standard in the causality literature, the models and the theory are embedded in the potential outcomes framework. Two general results concerning potential outcomes and the multiplicative hazards model for survival data are presented.

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